Wake Triggers for Dormancy Exit: Explicit Reentry Conditions in Memory

Mechanism

The wake-trigger mechanism is implemented as a structural primitive of the memory-resident execution layer. A persistent semantic object, when it transitions to a dormant state, writes into its own memory field a set of explicit reentry conditions. These conditions are not comments, hints, or scheduling annotations interpreted by an external coordinator; they are predicates evaluated by the substrate itself against the stream of events that flow through it. Three event classes are recognized as primary trigger sources, and each is handled through the same evaluation pipeline so that no class enjoys preferential dispatch and no class can be silently ignored. The pipeline is the same regardless of whether the substrate runs as a single process, a federated cluster, or a fully decentralized network, and the wake decision is recorded in the same lineage structure that records all other state transitions. Because the predicate is committed at the same instant the dormancy state is committed, there is no observable interval during which the object is dormant but its wake conditions are not yet effective; the substrate refuses to acknowledge dormancy entry that fails to commit a valid predicate.

The first class is alias publication. When an alias is registered into a namespace that a dormant object has declared interest in through a stored subscription predicate, the substrate matches the publication event against the predicate and, on a positive match, transitions the object out of dormancy. The match operation reads only the object's stored predicate and the publication record; no external alias registry is queried at wake time, because the publication itself carries the cryptographic commitment that the predicate evaluates against. This eliminates the class of wake failures that arise when an external registry is unavailable or has diverged from the substrate's view, and it permits the wake decision to be made by any node that observes the publication without requiring consultation with a central authority. The publication record also carries a sequence number relative to the namespace, so the wake event references a specific point in the namespace's history and not merely the namespace itself, which is essential for reconstructing wake order during replay.

Alias publication is more expressive than a simple name registration. The publication record may bind an alias to a content commitment, to a governance class, to a lineage descendant, or to any other structured field of the substrate. A dormant object's subscription predicate may therefore match on any of these binding axes, and the same alias publication event may trigger multiple dormant objects whose predicates are tuned to different aspects of the binding. Each awakened object receives, as part of its reentry record, the full publication payload that satisfied its predicate, enabling the awakened code to act on the bound information without a follow-up read against the substrate. This is materially different from notification systems in which a wake message merely indicates that something happened: the wake event in this architecture both signals the occurrence and supplies the evidence, collapsing two operations into a single substrate commit.

The second class is governance change. Persistent semantic objects descend from one or more lineage roots, and each lineage root carries a governance class that may be revised. When a governance change is committed, the substrate identifies every dormant descendant whose stored reentry conditions reference the affected lineage root and evaluates the change against those conditions. Wake is granted only when the change crosses a threshold that the dormant object itself has previously expressed in its memory field. The decision is local to the substrate, but it is verifiable from the lineage record alone, so any subsequent observer can reconstruct why the wake occurred and confirm that the wake was warranted by the governance transition rather than by some out-of-band signal. The descendant set is computed by traversal of the lineage graph from the affected root, and the traversal is bounded by the depth of the lineage and the fan-out at each node; in practice the substrate maintains a reverse index from root to dormant descendants so that the traversal is linear in the size of the affected dormant population rather than in the size of the entire dormant set.

Governance changes admit several flavors: tightening (where a previously permissive class becomes more restrictive), loosening (where a restrictive class is relaxed), and reclassification (where the class is replaced wholesale). A dormant object's reentry predicate may target any of these flavors independently, allowing fine-grained reactions. For example, a compliance-oriented object may wake only on tightening transitions to record the change against an audit log, while a service-oriented object may wake only on loosening transitions to begin offering a previously prohibited capability. A reclassification predicate may further specify the source class, the destination class, or both, enabling objects to react only to specific named transitions and not to any change of the lineage root's class. The substrate evaluates each flavor against the same predicate language and produces wake events that are indistinguishable in form from those generated by other trigger classes, preserving the uniform dispatch property.

The third class is peer signal. Sibling objects sharing a common lineage root may emit signals that target dormant peers by lineage path rather than by network address. The substrate routes these signals through the lineage graph; a dormant object whose memory field declares acceptance of peer signals from the relevant subtree is awakened on receipt. Because the signal carries the emitting object's own lineage segment, the awakened object inherits a pointer to its source, and the wake event is recorded with both the trigger predicate and the source signal in a single append-only commit. Peer signals therefore function as an in-substrate analog of inter-process messaging, but with the message identity and source authenticated by lineage rather than by a separate transport-layer credential. The signal payload itself is bounded by policy, typically to the size of a single substrate commit record, ensuring that peer signaling cannot be used to smuggle large data through the wake channel; bulk data transfers between cooperating objects use ordinary content references rather than wake-channel payloads.

Crucially, every wake event preserves trigger lineage. The reentry record written by the substrate at wake time includes the predicate that fired, the event that satisfied it, the lineage path of the originating record, and a cryptographic hash that binds the three together. The dormant object does not wake into a context where it must reconstruct why it was awakened; the reason travels with it into the live execution frame. This converts wake from a state transition into an evidentiary act, and it makes after-the-fact analysis of system behavior a matter of reading the lineage record rather than of correlating logs from a coordinator and a worker. The lineage hash also serves as an idempotency token: a wake event presented twice to the same object is detected and collapsed to a single execution, even across substrate restarts. Idempotence holds across the entire causal history of the object, not merely within a single execution session, because the hash is over committed substrate state rather than over volatile session state.

When more than one trigger class fires concurrently against the same dormant object, the substrate produces a single wake event whose reentry record enumerates each contributing trigger. The object is not awakened multiple times; the substrate detects the concurrency at the predicate-evaluation step and consolidates the matching triggers into a unified record. This consolidation is deterministic, ordered by the lineage commit timestamps of the contributing events, and visible to the awakened object through a structured field of the reentry record. Cooperating objects that need to respond to compound triggers receive the full set in a single dispatch and may apply their own resolution logic without further interaction with the substrate.

Operating Parameters

The reentry predicate language admits three operand families and four comparison operators, sufficient to express the bulk of practical wake conditions without admitting Turing-complete predicates that would compromise determinism. Operand families are: scalar fields of the object's own memory record, lineage path expressions evaluated against the substrate's lineage graph, and event-stream selectors bound to one of the three trigger classes. Comparison operators are equality, ordered comparison against committed scalar values, set membership against a sealed set, and lineage descent under a named root. Compound predicates are formed by conjunction and disjunction over these operators, with no recursion and no unbounded iteration; the resulting language is decidable in linear time over predicate size, which permits the substrate to compile, evaluate, and bound the cost of any admissible predicate without invoking general-purpose evaluation machinery.

Predicate evaluation cost is bounded. Each predicate is compiled at dormancy entry into a fixed-size evaluation graph whose node count is recorded in the memory field. The substrate refuses to commit a dormancy entry whose compiled graph exceeds a configured ceiling, typically on the order of a few dozen nodes. This bound ensures that wake-time evaluation latency is predictable and that an adversary cannot inflate substrate cost by registering pathological predicates. The ceiling is a substrate-wide policy parameter rather than a per-object setting, so all participants in a substrate share a uniform cost model regardless of the source of the dormant object. Where a workload requires more expressive wake conditions than the bounded language admits, the conventional remedy is to compose multiple dormancy stages: an object wakes on a coarse predicate, performs targeted evaluation on the awakened side, and re-enters dormancy under a refined predicate, with the multi-stage chain recorded as a connected substructure of the lineage.

Trigger evaluation is idempotent. A given event evaluated against a given predicate at any node yields the same wake decision; the decision is a pure function of the event payload, the predicate, and the lineage state at the event's commit point. This idempotence is the foundation for replay-based recovery: a substrate that loses its volatile state can reconstruct the wake schedule simply by replaying the event log against the dormant set. It is also the foundation for partition tolerance: nodes on either side of a partition that observe the same event will reach the same wake decision, and on partition healing the wake records will reconcile without conflict because they are byte-identical. Idempotence further permits speculative evaluation: a node may evaluate a predicate ahead of commit confirmation, retain the result, and use it once the underlying event reaches the durable state, without rework.

Latency from event commit to wake is dominated by the substrate's event-distribution interval rather than by predicate evaluation. In typical configurations the distribution interval is configurable from milliseconds to seconds, with the upper bound driven by the cost of cryptographic commitment and the lower bound by network propagation. Wake latency variance is therefore bounded by the configured distribution interval and is independent of the size of the dormant population. This is a significant departure from scheduler-based systems, in which wake latency typically grows with the number of pending tasks and varies with scheduler load. Operational tuning of the distribution interval allows a deployment to trade wake latency against commit overhead: low-latency configurations suit interactive workloads, while higher-latency configurations amortize cryptographic cost across larger commit batches and suit throughput-bound workloads.

Dormancy memory footprint per object scales with predicate complexity rather than with subscription breadth. An object subscribing to a wide namespace pays no more memory than an object subscribing to a narrow one, because the predicate is the only stored artifact and the namespace match is performed by the substrate against incoming events. Substrate-side memory cost scales with the size of the dormant set times the average compiled predicate size, both of which are bounded by policy. The substrate may further amortize cost by indexing predicates against the event types they reference, so that an incoming event evaluates only against the predicates whose operands could possibly be satisfied by it; the index itself is a substrate implementation detail that does not affect the semantics of wake but materially affects the practical cost of operating large dormant sets.

Predicate updates are not supported in place. A dormant object whose wake conditions need to change must be awakened, modified, and re-entered into dormancy under a new predicate. This restriction preserves the invariant that the predicate visible at wake time is exactly the predicate that was committed at dormancy entry, eliminating a class of subtle bugs in which a wake fires against a predicate that has been silently updated by a third party. The cost of this restriction is one additional wake-and-redormancy cycle per predicate change; in practice this is negligible for objects whose predicates are stable across long horizons, which describes the predominant operational pattern.

Wake events are durable before they are dispatched. The substrate does not deliver a wake event to the awakened object until the corresponding lineage record has been committed to durable storage at quorum. This ordering eliminates the scenario in which an object begins post-wake execution under the assumption that a wake event has been recorded, only to find on subsequent commit that the record was lost. It also bounds the recovery cost of a substrate failure: any wake event that has begun execution is, by construction, durably recorded, and any wake event whose record is not durable has not yet begun execution and may be re-evaluated cleanly upon recovery.

Alternative Embodiments

In a centralized cloud embodiment, the substrate is realized as a single coordinator process that holds the dormant set in memory and evaluates predicates against a unified event stream. Wake events are dispatched as in-process function invocations, and the lineage record is committed to a local append-only log backed by ordinary storage. This embodiment trades cross-node resilience for evaluation latency in the low microseconds and is suited to single-tenant deployments where availability is bounded by the host process. The structural primitives of the wake-trigger mechanism are unchanged in this embodiment; only the realization of the substrate's storage and event-distribution layers differs.

In a federated multi-party embodiment, each participating organization operates a substrate node that holds the dormant set for objects under its administrative scope. Trigger events cross organizational boundaries through a shared event fabric, and predicate evaluation is performed locally to the dormant object's home node. Lineage records are committed to a shared ledger that all participants validate, so that wake events are mutually verifiable without any participant disclosing its full dormant set. This embodiment supports cross-organizational workflows in which a wake on one party's substrate is triggered by a publication or governance change on another party's substrate.

In a fully decentralized embodiment, no node holds a privileged view. Each node holds a partition of the dormant set and a partition of the event stream, with assignment determined by a content-addressed routing scheme over lineage roots. Wake decisions are committed to a distributed lineage structure that converges under standard consensus assumptions. This embodiment is suited to deployments where no single party can be entrusted with the dormant set, including public networks and adversarial multi-tenant environments. Predicate evaluation in this embodiment is replicated across a quorum of nodes to defend against single-node misbehavior, with the quorum size a tunable security parameter.

In an edge embodiment, dormant objects reside on intermittently connected devices. Trigger events are buffered upstream and delivered as a batch when connectivity is restored. Wake is deferred until the device reconnects, and the lineage record reflects both the originating event time and the wake commit time, preserving causal order even across disconnection windows. The predicate language and the wake decision are identical to the always-connected case; only the delivery latency differs. This embodiment supports IoT and field-deployed scenarios where dormant objects may sleep for hours or days between trigger events.

A further embodiment combines two or more of the above: an object may be dormant in one substrate topology and migrate, while dormant, to another. Migration carries the predicate and lineage state intact, so that wake conditions remain in force across the topology change. The receiving substrate evaluates the predicate against its own event stream from the migration point forward, and the lineage record reflects the migration as a discrete event between the original dormancy commit and any subsequent wake. This permits, for example, an object dormant on a federated substrate to migrate to a centralized substrate for a high-throughput evaluation phase and then migrate back, all without losing its wake conditions.

In a hybrid embodiment, multiple trigger classes may be combined within a single predicate. A dormant object may, for instance, declare that it wakes on either an alias publication satisfying a content predicate or a peer signal from a designated subtree, whichever occurs first. The substrate evaluates both branches of the disjunction against the relevant event streams and fires on the first match, recording in the wake event which branch fired. This permits expressive composition without departing from the bounded predicate language.

In a quorum-gated embodiment, wake is conditional on the simultaneous satisfaction of predicates evaluated against multiple substrates or multiple lineage roots. A dormant object may declare that it wakes only when, for example, a governance change has been committed on lineage root A and an alias has been published in namespace B, with the conjunction evaluated only at the point at which both events have been observed. The substrate maintains a partial-match record across the relevant streams and fires the wake event when the final missing component is observed. This embodiment supports cross-domain coordination scenarios in which an action should be taken only when conditions across multiple authority boundaries are simultaneously satisfied.

In a deferred-wake embodiment, the substrate may delay actual wake dispatch by a policy-configured interval after predicate satisfaction, allowing a debounce or batching window during which further events may be folded into a single dispatch. The deferred-wake interval is bounded and recorded as part of the wake event so that the timing relationship between trigger and dispatch remains auditable. This embodiment is appropriate where wake costs amortize favorably across batches, such as in event-driven analytics workloads.

Composition

The wake-trigger mechanism composes with the broader memory-resident execution architecture along three axes. Along the lineage axis, the wake event is committed to the same append-only structure that records all other state transitions of the persistent semantic object, so that the wake is indistinguishable in form from a creation, a state change, or a dormancy entry. Tooling that consumes the lineage record need not special-case wakes; the same readers, validators, and replicators that handle other events handle wakes uniformly. This uniformity is a deliberate architectural choice that simplifies both the implementation and the operational surface of the substrate.

Along the governance axis, the wake-trigger mechanism observes the same governance class boundaries that govern ordinary execution. A predicate cannot reference a lineage root the dormant object is not authorized to observe, and a wake cannot occur in violation of the governance class active at the time of the trigger event. Governance is therefore enforced by the same evaluation step that decides whether to wake, eliminating the class of failures that arise when wake and governance are checked separately. A governance class change can itself act as a trigger, but the resulting wake is still bounded by the class active at the moment of the wake commit, so an object cannot use a transient governance window to escape a tightening.

Along the substrate axis, the wake-trigger mechanism is independent of the underlying compute and storage technology. The same predicate compiles to the same evaluation graph whether the substrate is in-process, federated, decentralized, or edge, and the wake decision is the same in all cases for the same input event. This substrate-independence is what permits the migration embodiment described above and is what makes the wake-trigger primitive durable across infrastructure refresh cycles. A substrate that upgrades from one storage backend to another, or one cryptographic suite to another, retains the same wake semantics so long as the predicate language and the lineage structure are preserved.

Wake-trigger composition with peer signals is particularly useful in multi-agent settings, where one agent's completion is the wake condition for another. The peer signal carries lineage, so the awakened agent has direct evidence of the completing agent's state at the moment of signaling, without a separate query. This eliminates the race conditions endemic to systems in which a wake message and a state read are independent operations. Multi-step workflows can therefore be expressed as chains of dormant objects each waking on the previous step's signal, with the entire workflow's lineage preserved as a single connected structure in the substrate.

Composition with the dormancy entry mechanism is similarly tight. The same memory field that records the predicate also records the dormancy commit, and the two are committed atomically: there is no observable state in which an object has entered dormancy but has not yet registered its predicate, nor any state in which a predicate is registered but the dormancy commit has not happened. This atomicity is what permits the substrate to guarantee that no trigger event is missed during the dormancy transition.

Prior-Art Distinction

Conventional approaches to delayed or conditional execution rely on external schedulers, message queues, and orchestration layers. A scheduler holds a list of pending tasks and an evaluation thread that fires them when their wake conditions are met; a queue holds messages that are delivered to handlers when a consumer becomes available; an orchestrator holds a workflow definition that advances when upstream steps complete. Each of these places the wake decision outside the dormant entity, in a coordinator whose continued availability and consistency are prerequisites for correct wake. Failure modes endemic to these systems include dropped wakes during coordinator failover, duplicate wakes during partition healing, and silent divergence between the coordinator's view of pending wakes and the actual state of the entities that should be awakened.

The architecture described here inverts that arrangement. The wake decision is recorded in the dormant object's own memory field, and the substrate evaluates the decision against events as they flow through. There is no coordinator whose loss invalidates pending wakes; reconstruction of the wake schedule is a function of the dormant set and the event log, both of which are committed structures. There is no external dependency that can be misconfigured into silent failure, because the predicate is part of the object and travels with it. Recovery from substrate failure is a pure function of the committed state; there is no soft state to reconstruct and no out-of-band knowledge required to resume correct operation.

Prior systems that approach this design, such as event-condition-action databases or active rule engines, generally lack the lineage-preserving commit structure that makes wake events evidentiary. They also typically lack the substrate-independence that permits migration of dormant entities across topology classes. The combination of explicit reentry conditions, three-class trigger recognition, lineage preservation, and substrate-independence distinguishes this architecture from those references. Further, ECA systems and active rule engines typically operate over a relational data model and a local rule base, neither of which extends naturally to the cross-organizational, cross-substrate scenarios that the present architecture supports as a primary use case.

Reactive programming frameworks and observable streams provide a partial analog at the application layer but do not commit their wake conditions to durable storage and do not preserve lineage across the wake event. Workflow engines such as those built on durable function abstractions provide durability for the workflow definition but rely on a centralized engine for evaluation and do not support the trigger classes described here. None of these references combine the structural properties that distinguish the present architecture.

Disclosure Scope

This article describes the wake-trigger mechanism at a level sufficient to enable a person of ordinary skill in distributed systems and persistent execution to implement it. The disclosure encompasses the three trigger classes (alias publication, governance change, peer signal), the predicate language with its three operand families and four comparison operators, the bounded evaluation cost, the lineage-preserving commit structure, and the substrate-independent operating parameters. Embodiments are disclosed across centralized, federated, decentralized, and edge topologies, including migration between topologies during dormancy and hybrid predicates spanning multiple trigger classes.

The disclosure is non-limiting with respect to the choice of cryptographic primitive used for lineage commitment, the specific event-distribution mechanism, the predicate compilation strategy, and the storage backend for the dormant set. Variations in any of these implementation details are within the scope of the disclosure provided that the structural properties of explicit reentry, lineage preservation, and substrate-independence are retained. Particular attention is drawn to the requirement that wake decisions be recorded as cryptographically committed entries in the same lineage structure that records other state transitions, and that the predicate evaluated at wake time be the predicate committed at dormancy entry.

This article is part of a series describing the memory-resident execution architecture for persistent semantic objects without orchestration. Related disclosures cover the dormancy entry mechanism, the lineage commitment structure, and the governance class system; together they constitute the full architectural specification. Readers interested in the broader context of the architecture should consult the parent specification and the companion articles describing the related primitives.